Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology

A new method of fuzzy patches construction in Neuro-Fuzzy for malware detection

Authors
Andrii Shalaginov, Katrin Franke
Corresponding Author
Andrii Shalaginov
Available Online June 2015.
DOI
10.2991/ifsa-eusflat-15.2015.27How to use a DOI?
Keywords
Malware detection, neuro-fuzzy, digital forensics, optimization
Abstract

Soft Computing is being widely used in Information Security applications. Particularly, Neuro-Fuzzy approach provides a classification with humanunderstandable rules, yet the accuracy may not be sufficiently high. In this paper we seek for an optimal fuzzy patch configuration that uses elliptic fuzzy patches to automatically extract parameters for the Mamdami-type rules. We proposed a new method based on X2 test of data to estimate rotatable patch configuration together with Gaussian membership function. This method has been tested on the automated malware analysis with accuracy up to 92%. Further on, it can find an application in Digital Forensics.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology
Series
Advances in Intelligent Systems Research
Publication Date
June 2015
ISBN
978-94-62520-77-6
ISSN
1951-6851
DOI
10.2991/ifsa-eusflat-15.2015.27How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Andrii Shalaginov
AU  - Katrin Franke
PY  - 2015/06
DA  - 2015/06
TI  - A new method of fuzzy patches construction in Neuro-Fuzzy for malware detection
BT  - Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology
PB  - Atlantis Press
SP  - 170
EP  - 177
SN  - 1951-6851
UR  - https://doi.org/10.2991/ifsa-eusflat-15.2015.27
DO  - 10.2991/ifsa-eusflat-15.2015.27
ID  - Shalaginov2015/06
ER  -